How to create 10 minute time series from hourly data
1. Always cc the list. 2. Assuming all you want to to do is produce a regular sequence 6 times as long, ?seq Please go through an R tutorial or two to learn basic R functionality like this. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Feb 1, 2017 at 11:25 AM, Mary Ann Middleton <maberg at sfu.ca> wrote:
Thank you. I will try that for interpolating the values between hours. But before I can do that, do you have any suggestions how I can expand the time series from hourly to 10-minute intervals? I think I will need to create an time series and then merge it with the existing data frame, at which point I could apply 'approx' to fill the remaining values, but this is where I'm really stuck. ~Mary Ann
________________________________
From: "Bert Gunter" <bgunter.4567 at gmail.com>
To: "Mary Ann Middleton" <maberg at sfu.ca>
Cc: "R-help" <r-help at r-project.org>
Sent: Wednesday, February 1, 2017 10:56:19 AM
Subject: Re: [R] How to create 10 minute time series from hourly data
Perhaps:
?approx
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Feb 1, 2017 at 8:41 AM, Mary Ann Middleton <maberg at sfu.ca> wrote:
Hello,
Apologies if this is a duplicate. I think I sent it to the wrong list
yesterday.
I would appreciate some direction/suggestions with a problem with a time
series.
I have a regular time series dataframe with hourly data. I need to create
a time series with a 10 minute interval for $Level_m to compare to another
time series.
I would like to apply an approximation and create a time series with 10
minute intervals from the data series I have. I do not want to smooth the
data and so I think a linear approximation would suffice.
I have also searched xts for possible solutions but haven't had luck. Any
input is greatly appreciated.
~Mary Ann Middleton, PhD
Here is a sample of the data I have:
Date Time date.time ms LEVEL TEMPERATURE Level_m
1 2016-05-31 15:25:00 2016-05-31 15:25:00 0 92.1767 25.171 9.401814
2 2016-05-31 16:25:00 2016-05-31 16:25:00 0 92.1498 18.023 9.399071
3 2016-05-31 17:25:00 2016-05-31 17:25:00 0 92.0781 17.951 9.391757
4 2016-05-31 18:25:00 2016-05-31 18:25:00 0 92.0664 16.312 9.390564
5 2016-05-31 19:25:00 2016-05-31 19:25:00 0 92.0250 15.043 9.386341
6 2016-05-31 20:25:00 2016-05-31 20:25:00 0 91.9732 14.015 9.381058
Here is the str()
'data.frame': 164 obs. of 7 variables:
$ Date : chr " 2016-05-31 " " 2016-05-31 " " 2016-05-31 " " 2016-05-31 "
...
$ Time : chr "15:25:00" "16:25:00" "17:25:00" "18:25:00" ...
$ date.time : POSIXct, format: " 2016-05-31 15:25:00" " 2016-05-31
16:25:00" ...
$ ms : int 0 0 0 0 0 0 0 0 0 0 ...
$ LEVEL : num 92.2 92.1 92.1 92.1 92 ...
$ TEMPERATURE: num 25.2 18 18 16.3 15 ...
$ Level_m : num 9.4 9.4 9.39 9.39 9.39 ...
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